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PhD researcher in Hyperspectral Remote Sensing

We are looking for a dedicated scientist, keen to integrate knowledge in hyperspectral remote sensing, GIS and physical modelling and to pursue cutting edge research within a highly motivated team. The successful candidate will be integrated into an ongoing research project, focussing on the scientific preparation of the German EnMAP satellite mission. In that context, the development, improvement, and validation of physically-based algorithms for the retrieval of biophysical variables will provide challenging opportunities for the candidates. The projected tasks include:
- the preparation and conduction of field sampling campaigns,
- the organization and administration of workshops and schools (which are) embedded in the international EnMAP preparation initiative,
- the adaptation, enhancement and demonstration of software interfaces and solutions, and
- the writing of project-related reports and publishing of articles in scientific journals.
Experience in remote sensing (hyperspectral), landsurface modelling, agriculture or food production respectively as well as advanced computer programming skills (internet based data mining, programming skills: especially PYTHON) are of advantage.
The LMU Munich is committed to increase female employment in research and education. Qualified female applicants are especially encouraged. In case of equal qualification and experience, physically challenged applicants are given preference.

Kontaktdaten


Art des Bewerbungszugangs
Please send a letter of application and a CV including all relevant information per Email to Dr. Tobias Hank.
Kontakt für Bewerbungen
Dr. Tobias Hank
Department of Geography
Chair of Geography and Remote Sensing
Ludwig-Maximilian-University Munich
Luisenstraße 37 | III | C306
D-80333 Munich, Germany
Tel.: +49 (0)89 2180-6682
Fax: +49 (0)89 2180-6675
E-mail: tobias.hank@lmu.de

Details der Stellenanzeige


Arbeitszeit
Teilzeit
Vertragslaufzeit
Befristete Anstellung
Stellentyp
Promotionsstelle
Berufserfahrung
Berufserfahrung nicht vorausgesetzt
Region
Deutschland (Bayern)
Arbeitsort
80333 München
Fachgebiet
Geowissenschaften, Agrarwissenschaften
JETZT BEWERBEN